EU Project INPUT: PhD Student Position in Jürgen Schmidhuber's lab
Update of 18 May 2018: thanks for the numerous applications so far!
We'll now temporally close this job offering (although we might
open it again later in case of need).
We have an open PhD position in the machine learning team of the European
Union (H2020) Research Project Intuitive Natural Prosthesis Utilization (INPUT).
The project goal is to develop an advanced hand prosthesis that can be
controlled by residual muscular activity (electromyography - EMG), allowing to
robustly and intuitively perform natural movements with multiple simultaneous
degrees of freedom. IDSIA is in charge of the neural-network based signal
processing of the EMG data, innovative user-training, and implementation on a
microcontroller for patient tests and hands-on experimentation, in close
collaboration with European partners.
We are looking for outstanding candidates with interest / background in
machine learning and
deep learning neural networks,
and ideally some experience with bio-signal processing.
You will have the opportunity to work on a challenging real-life machine
learning task, and you will also collaborate with other lab members on other
projects - we are one big family!
Starting as soon as possible, the position will initially be for two years,
with potential prolongation afterward.
We have direct access to the
fastest supercomputer in the Western world
(and the world's 3rd fastest, as of June 2017), with over 5000 GPUs, also based in Lugano, Switzerland.
PhD student salary: Initially CHF 46'000 per year.
Low Swiss taxes. There is travel funding in case of papers accepted at important conferences.
There are also exciting
connections
to the world of AI startups.
There is an opportunity to
participate in teaching courses (in English) on machine learning, in
Switzerland's
first A.I. Master's degree program
at the University of Lugano.
Official language at
IDSIA is
English.
INSTRUCTIONS: Submit your CV, a brief statement of
research interests explaining why exactly you'd like to work with us,
and a list of 3 references and their
email addresses to rnnai2017@idsia.ch.
(Do not send articles or transcripts or other large files - they will be deleted.)
In the subject header,
mention your full name followed by the keyword eu2018, and add "PhD".
For example, if your name is Jo Mo, and you are applying as a PhD student,
use subject: Jo Mo eu2018 PhD.
You must also upload your material in this online form! We will continually evaluate applications until all positions are filled, which may take a while - we will occasionally update this web site.
Klick here for more jobs for PhD students and PostDocs thanks to ERC, Google DeepMind, NVIDIA
The Swiss AI Lab IDSIA
was the smallest of the world's top ten AI labs listed in the
1997
"X-Lab Survey" by Business Week magazine.
IDSIA's most important
work was done after 1997 though.
As of March 2017, the
four most valuable public companies in the world (Apple, Alphabet/Google, Microsoft, Amazon) are heavily using IDSIA's deep learning algorithms.
IDSIA won many international pattern recognition competitions,
for example, the first official computer vision contests won by deep CNNs.
Its highly cited
Ant Colony
Optimization Algorithms broke numerous benchmark records and
are now widely used in industry for routing, logistics etc (today
entire conferences specialize on Artificial Ants).
IDSIA is also the origin of the first mathematical theory of optimal
Universal
Artificial Intelligence and self-referential
Universal Problem Solvers (previous work on general
AI was dominated by heuristics).
IDSIA's artificial
Recurrent Neural Networks
learn to solve numerous previous unlearnable sequence processing
tasks through gradient descent,
Artificial
Evolution and other methods. In particular,
IDSIA's LSTM RNNs are now available to billions of smartphone users, e.g., for
speech recognition, or machine translation through Google Translate.
Research topics also include
complexity and generalization issues,
unsupervised learning and information theory,
forecasting,
learning robots.
IDSIA's results were reviewed not only in
science journals such as Nature, Science, Scientific American,
but also in numerous popular press articles in
TIME magazine, the New York Times,
der SPIEGEL, and many others. Numerous TV shows on Tech & Science
helped to popularize IDSIA's achievements.
IDSIA is affiliated with
the University of Lugano (USI)
and USI's Faculty of Informatics
and SUPSI.
Many IDSIA alumni went on to become professors. Google
DeepMind is heavily influenced by our former students: DeepMind's first PhDs in AI and Machine Learning came from our lab, one of them co-founder, one of them first employee; others joined later.
IDSIA is located just outside the beautiful city of Lugano in Ticino
(pics),
the scenic southern Swiss province. Milano, Italy's center of fashion
and finance, is 1 hour away, Venice 3 hours.
Switzerland is the world's leading science nation.
It is the origin of special relativity (1905)
and the
World Wide Web (1990),
is associated with 105 Nobel laureates, and
boasts far more
Nobel prizes per capita
than any other nation.
It also has the world's highest number of publications per capita,
the highest number of patents per capita,
the highest citation impact factor,
the
most cited single-author paper,
etc, etc.
As of 2016, Switzerland is the world's most
competitive country for the 7th year in a row, according to the World Economic Forum. It's also the
happiest country (1990s average), according to the Happiness Foundation.
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